Evidence map›Paper›PMID 38965281›Full record

ArticleScientific reports2024

A high security coding and anti-counterfeiting method based on the nonlinear magnetization response of superparamagnetic nanomaterials.

Shi Bai, Yuxi Lin, Xiaoju Wang, Xiaodan Zhang, Takashi Yoshida, Xiaohan Yue

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shi BaiDepartment of Information Engineering, Shenyang University of Technology, ShenYang, 110870, China.
Yuxi LinDepartment of Information Engineering, Shenyang University of Technology, ShenYang, 110870, China.
Xiaoju WangLiaoning Vocational and Technical College of Economics, ShenYang, 110122, China.
Xiaodan ZhangDepartment of Information Engineering, Shenyang University of Technology, ShenYang, 110870, China.
Takashi YoshidaDepartment of Electronic Engineering, Kyushu University, Fukuoka, 819-0395, Japan.
Xiaohan YueDepartment of Information Engineering, Shenyang University of Technology, ShenYang, 110870, China. xhyue@sut.edu.cn.

Funding

Key Project of Liaoning Provincial Department of Education LJKZ0133Key Project of Liaoning Provincial Department of Science and Technology 2022JH1/10500004Liaoning Professional Talent Protect XLYC2203046Natural Science Foundation of Liaoning Province 2022-YGJC-11Science and Technology Project of Shenyang City 22-321-32-09
6 · The paper itself

Abstract

Traditional coding methods based on graphics and digital or magnetic labels have gradually decreased their anti-counterfeiting because of market popularity. This paper presents a new magnetic anti-counterfeiting coding method. This method uses a high-performance coding material, which, along with small changes to the material itself and the particle size of the superparamagnetic nanomaterials, results in a large difference in the nonlinear magnetization response. This method, which adopts 12-site coding and establishes a screening model by measuring the voltage amplitude of 12-site variables, can code different kinds of products, establishing long-term stable coding and decoding means. Through the anti-counterfeiting experiment of wine, the experiment results show that the authenticity of the coded products can be verified using the self-developed magnetic encoding and decoding system. The new coding technology can verify the anti-counterfeiting of 9000 products, with a single detection accuracy of 97% and a detection time of less than one minute. Moreover, this coding method completely depends on the production batch of the superparamagnetic nanomaterials, which is difficult to imitate, and it provides a new coding anti-counterfeiting technology for related industries with a wide range of potential applications.

Indexed as

Harmonic signalProduct codeSuperparamagnetic nanoparticlesTraceability

Identifiers

PMID38965281
PMCPMC11224384

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.